Efficient Verification of Edge Data Integrity in Edge Computing Environment
ABSTARCT :
Edge computing, as a new computing paradigm that extends cloud computing, allows a service vendor to deploy its services on distributed edge servers to serve its service users in close geographic proximity to those edge servers. Caching edge data on edge servers can minimize service users data retrieval latency. However, such edge data are subject to intentional and accidental corruption in the highly distributed and dynamic edge computing environment. Verifying the integrity of service vendors edge data accurately and efficiently is a critical security problem. Given a potentially large number of edge servers and their limited computing capacities, verifying the integrity of the edge data on each edge server individually is computation expensive. In this paper, we make the first attempt to tackle this Edge Data Integrity (EDI) problem from the service vendors perspective by proposing an inspection and corruption localization scheme for EDI named ICL-EDI. This scheme allows a service vendor to inspect its edge data and localize corrupted edge data on multiple edge servers accurately and efficiently. To evaluate its performance, we implement ICL-EDI and conduct extensive experiments to demonstrate its effectiveness and efficiency.
EXISTING SYSTEM :
? The existing research works have to look the troubles of huge computational and communication overhead.
? The various research works have been developed a blockchain based verification scheme.
? In the blockchain, the bitcoin is used PoW consensus protocol to verify the integrity of outsourced data. However, the PoW is taking more energy consumption and consensus process is prohibitively slow for validating.
? The pre-processing step is a major concern when data outsourced in the cloud. Proof generation of outsourced data during the data integrity process is taking more computation efficiency.
DISADVANTAGE :
? We find that mobile edge computing also faces the similar problem regarding the data integrity, and it requires that the integrity verification is not only performed on the back-end cloud but also the edge nodes.
? However, the previous approaches may not work well when the data integrity problem comes to the edge computing.
? In this paper, we study the integrity checking problem for a general-purpose data storage service in edge computing and proposed protocols for it.
? The problem of checking integrity of remote data is first introduced by in, which proposes a RSA-based method for this problem.
PROPOSED SYSTEM :
• The proposed data integrity scheme is produced low communication overhead and low computational cost.
• The proposed method uses the blockchain that produce the corresponding metadata and forwarded it to the client.
• The proposed scheme is allow DO to store and make sure the verification information by writing and get back the blockchain.
• The proposed system design a significant auditing method for data integrity based on bilinear pairing and commitments in order to enhance the scalability.
• The proposed scheme is present no interactive public PDP and design a smart contract using blockchain technology for public cloud storage auditing.
ADVANTAGE :
? We propose a remote data integrity checking protocol for edge storage, and an extended protocol is also proposed for efficient batch verification of multiple edges.
? The proposed protocols are privacy-preserving against semi-honest verifier, secure against untrusted edge nodes, and efficient in terms of the requirements of edge computing.
? The TPAs have powerful computing and storage capabilities, which maintain the data integrity tags and perform the verifications.
? When performing the integrity checking, the TPA cannot get other private information (including retrieved data, query patterns, and edges’ strategies) from both the user and the edge.
? However, when performing the integrity verification, the overlaps between data blocks on different edges brings unnecessary burdens for the TPA.
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